Visualization of COVID19 Data in Bicol

Visualization of COVID19-related Data from Bicol Region and Naga City, Camarines Sur, Philippines

Data sources used to make the plots are official press releases of DOH CHD - Bicol and official releases from the COVID Tracker of the Local Government of Naga,and official statements of the Office of the Mayor of the concerned LGUs.

The following interactive plot shows the Covid19-positive individuals and their contacts in Bicol Region as of August 26, 2020.

Use your mouse to zoom in to particular cases, see details, and look into connections.

Time Varying R in Bicol Region as of August 26, 2020

The following figure shows the output plots: Epidemic Curve, Estimated R, and Explored Serial Interval Distribution

Computed R (Mean R) Value for the Province of Bicol for August 26, 2020 or Day 146

(Please ignore the warning message)

FALSE     Mean(R)     Std(R)
FALSE 1: 1.293717 0.07623302

FALSE    Quantile.0.025(R) Quantile.0.05(R) Quantile.0.25(R) Median(R)
FALSE 1:          1.148602          1.17093         1.241515   1.29222
FALSE    Quantile.0.75(R) Quantile.0.95(R)
FALSE 1:         1.344287         1.421611

References:

R Core Team (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URhttps://www.R-project.org/

packages used: dplyr, data.table, lubridate, reshape2, ggplot2, EpiEstim, epicontacts, googlesheets4, readxl

Help us improve our viz. Send a pull request at link

H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016

Matt Dowle and Arun Srinivasan (2019). data.table: Extension of data.frame. R package version 1.12.8. https://CRAN.R-project.org/package=data.table

Hadley Wickham, Romain Franl